CN112365506A - Aerial photograph automatic correction and splicing operation method for oblique photography measurement - Google Patents
Aerial photograph automatic correction and splicing operation method for oblique photography measurement Download PDFInfo
- Publication number
- CN112365506A CN112365506A CN202011107350.XA CN202011107350A CN112365506A CN 112365506 A CN112365506 A CN 112365506A CN 202011107350 A CN202011107350 A CN 202011107350A CN 112365506 A CN112365506 A CN 112365506A
- Authority
- CN
- China
- Prior art keywords
- aerial
- target
- area
- photographed
- target area
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 16
- 238000012937 correction Methods 0.000 title claims description 10
- 238000005259 measurement Methods 0.000 title claims description 6
- GNFTZDOKVXKIBK-UHFFFAOYSA-N 3-(2-methoxyethoxy)benzohydrazide Chemical compound COCCOC1=CC=CC(C(=O)NN)=C1 GNFTZDOKVXKIBK-UHFFFAOYSA-N 0.000 claims description 3
- 238000003384 imaging method Methods 0.000 abstract description 3
- 230000004927 fusion Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C11/00—Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
- G01C11/04—Interpretation of pictures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10028—Range image; Depth image; 3D point clouds
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
- G06T2207/20221—Image fusion; Image merging
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Multimedia (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Computer Graphics (AREA)
- Geometry (AREA)
- Software Systems (AREA)
- Image Processing (AREA)
Abstract
The invention discloses an automatic correcting and splicing operation method of aerial photos for oblique photogrammetry, which is characterized in that a plurality of target points for reference are selected in a target area to be aerial-photographed, the target area to be aerial-photographed is divided into a plurality of target point areas, the target points are uniformly distributed and related, the overlapping area of original image photos of two adjacent target points exceeds one half of the area of a single target point, then a panoramic image of each target point area is aerial-photographed, the panoramic images of the target areas jointly form a panoramic image of the target area to be aerial-photographed, the aerial photographing of the target areas is more complete and can fully embody details, the imaging deviation caused by oblique photography can be avoided, the finished photos can be more practical and are not distorted, and the quality of the photos is better; the panoramic picture is spliced by using the image shot from multiple viewpoints to the non-planar structure, the spliced panoramic picture can directly measure the planar geometric characteristics of the object such as length, width and area, and the added value of the photo is higher.
Description
Technical Field
The invention relates to the technical field of image processing, in particular to an automatic aerial photograph correction and splicing operation method for oblique photogrammetry.
Background
In the photogrammetry work, a technique of performing projection conversion on aerial photographs, eliminating the displacement of image points due to the inclination of the photographs during photography, and classifying the images into images of a prescribed scale is called photograph correction. When using the equipment of taking a photo by plane to carry out the aerial photography measurement to a certain region, because the structure in each subregion of target area is all different mostly, when using the equipment of taking a photo by plane to carry out direct shooting, lead to partial detail not clear easily, unable abundant reflection target area's full-face makes the photo distortion, simultaneously, corrects the concatenation in-process at the photo, leads to effective concatenation because of the problem of nearly big or small, appears the concatenation deviation easily. Therefore, an automatic aerial photograph correction and splicing method for oblique photogrammetry is provided.
Disclosure of Invention
The invention mainly aims to provide an automatic aerial photograph correcting and splicing operation method for oblique photogrammetry, which can effectively solve the problems in the background technology.
In order to achieve the purpose, the invention adopts the technical scheme that:
an automatic aerial photograph correction and splicing operation method for oblique photogrammetry comprises the following steps:
a. selecting a target area to be aerial-photographed, selecting a plurality of target points for reference in the area, and dividing the target area to be aerial-photographed into a plurality of target point areas;
b. carrying out image shooting on the surface of the structure of each target point in a multi-view mode to obtain full coverage and overlapped image photos of the structure of each target point area, wherein the image photos of each target point area jointly form an original panoramic image photo of a target area to be aerial-shot;
c. b, acquiring the original panoramic image photo shot in the step b, and performing three-dimensional reconstruction according to the original image photo of each target point to form a three-dimensional reconstruction point cloud of each target point;
d. c, fusing the three-dimensional reconstruction point clouds of the target points in the step c into an integral three-dimensional reconstruction point cloud of a target area to be aerial-photographed according to the characteristics of the structures at the overlapped part;
e. according to the outline of the target area to be aerial-photographed, a warp parameter equation and a weft parameter equation are constructed, and a surface three-dimensional model curved surface of the target area to be aerial-photographed is constructed in a manner that warps sweep along wefts;
f. acquiring the integral three-dimensional reconstruction point cloud of the target area to be aerial-photographed in the step b and the surface three-dimensional model curved surface of the target area to be aerial-photographed in the step e, and estimating a relative position relationship;
g. respectively setting the coordinates of the weft and the coordinates of the warp as the abscissa and the ordinate of the panoramic image, determining the spatial coordinates of the intersection points of the weft and the warp, and then determining the corresponding relation between the pixel points corresponding to the spatial coordinates in the image photo constructed by the reconstruction camera and the corrected panoramic photo;
h. correcting the original panoramic image photo obtained in the step b to a panoramic image splicing plane according to the corresponding relation between the pixel point corresponding to the spatial coordinate point in the step g and the corrected panoramic photo;
i. splicing and fusing the corrected images to form an apparent panoramic image of a target area to be aerial-photographed;
j. and (e) acquiring the apparent panorama of the target area to be aerial-photographed in the step (i), and dividing the apparent panorama according to aerial-photographing requirements to form a final aerial-photographing photo.
Preferably, in the step a, the target points selected in the target area to be aerial-photographed are uniformly distributed and related.
Preferably, in the step a, the overlapping area of the original image photographs of two adjacent target points exceeds one third of the area of a single target point.
Compared with the prior art, the invention has the following beneficial effects:
selecting a plurality of target points for reference in a target area to be aerial-photographed, dividing the target area to be aerial-photographed into a plurality of target point areas, wherein the target points are uniformly distributed and related, the overlapping area of original image photos of two adjacent target points exceeds one half of the area of a single target point, then aerial-photographing the panoramic images of the target point areas, and the panoramic images of the target areas jointly form the panoramic image of the target area to be aerial-photographed, so that the aerial-photographing of the target area is more complete, the details can be fully reflected, the imaging deviation caused by oblique photography can be avoided, the finished photo can be more practical, the photo is not distorted, and the quality of the photo is better; the panoramic picture is spliced by using the image shot from multiple viewpoints to the non-planar structure, and the spliced panoramic picture can directly measure the planar geometric characteristics of the object such as length, width, area and the like, so that the photo can be applied to different fields, and the added value of the photo is higher; the aerial photography operation that the overlapping area of the original image photos of two adjacent target points exceeds one half of the area of a single target point can ensure that the three-dimensional reconstruction point clouds of all the target point areas are fused more sufficiently and closer to the reality in the photo correction and splicing process, reduce the splicing deviation and avoid the problem that the quantitative measurement cannot be realized due to the problems of the final photo, such as the size and the depth.
Drawings
FIG. 1 is a flow chart of an automatic aerial photograph correction and splicing method for oblique photogrammetry according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
An automatic aerial photograph correction and splicing operation method for oblique photogrammetry comprises the following steps:
a. selecting a target area to be aerial-photographed, selecting a plurality of target points for reference in the area, wherein the target points selected in the target area to be aerial-photographed are uniformly distributed and related, dividing the target area to be aerial-photographed into a plurality of target point areas, and the overlapping area of original image photos of two adjacent target points exceeds one half of the area of a single target point;
b. the method comprises the steps of carrying out image shooting on the surface of a structure of each target point in a multi-view mode to obtain full coverage and overlapped image photos of the structure of each target point area, wherein the image photos of each target point area jointly form an original panoramic image photo of a target area to be aerial-shot, so that the aerial-shot of the target area is more complete, the details can be fully reflected, the imaging deviation caused by oblique photography is avoided, and a photo finished product can be more practical and is not distorted;
c. b, acquiring the original panoramic image photo shot in the step b, and performing three-dimensional reconstruction according to the original image photo of each target point to form a three-dimensional reconstruction point cloud of each target point;
d. c, fusing the three-dimensional reconstruction point clouds of the target points in the step c into an integral three-dimensional reconstruction point cloud of a target area to be aerial-photographed according to the characteristics of the structure at the overlapped part, wherein the overlapped area of the original image photos of the two adjacent target points exceeds one half of the area of a single target point, so that the integrity can be improved and the fusion deviation can be reduced during fusion;
e. according to the outline of the target area to be aerial-photographed, a warp parameter equation and a weft parameter equation are constructed, and a surface three-dimensional model curved surface of the target area to be aerial-photographed is constructed in a manner that warps sweep along wefts;
f. acquiring the integral three-dimensional reconstruction point cloud of the target area to be aerial-photographed in the step d and the surface three-dimensional model curved surface of the target area to be aerial-photographed in the step e, and estimating a relative position relationship;
g. respectively setting the coordinates of the weft and the coordinates of the warp as the abscissa and the ordinate of the panoramic image, determining the spatial coordinates of the intersection points of the weft and the warp, and then determining the corresponding relation between the pixel points corresponding to the spatial coordinates in the image photo constructed by the reconstruction camera and the corrected panoramic photo;
h. correcting the original panoramic image photo obtained in the step a to a panoramic image splicing plane according to the corresponding relation between the pixel point corresponding to the spatial coordinate point in the step g and the corrected panoramic photo;
i. splicing and fusing the corrected images to form an apparent panoramic image of a target area to be aerial-photographed;
j. and (e) acquiring the apparent panorama of the target area to be aerial-photographed in the step (i), and dividing the apparent panorama according to aerial-photographing requirements to form a final aerial-photographing photo.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (3)
1. An automatic aerial photograph correction and splicing operation method for oblique photogrammetry comprises the following steps:
a. selecting a target area to be aerial-photographed, selecting a plurality of target points for reference in the area, and dividing the target area to be aerial-photographed into a plurality of target point areas;
b. carrying out image shooting on the surface of the structure of each target point in a multi-view mode to obtain full coverage and overlapped image photos of the structure of each target point area, wherein the image photos of each target point area jointly form an original panoramic image photo of a target area to be aerial-shot;
c. b, acquiring the original panoramic image photo shot in the step b, and performing three-dimensional reconstruction according to the original image photo of each target point to form a three-dimensional reconstruction point cloud of each target point;
d. c, fusing the three-dimensional reconstruction point clouds of the target points in the step c into an integral three-dimensional reconstruction point cloud of a target area to be aerial-photographed according to the characteristics of the structures at the overlapped part;
e. according to the outline of the target area to be aerial-photographed, a warp parameter equation and a weft parameter equation are constructed, and a surface three-dimensional model curved surface of the target area to be aerial-photographed is constructed in a manner that warps sweep along wefts;
f. acquiring the integral three-dimensional reconstruction point cloud of the target area to be aerial-photographed in the step d and the surface three-dimensional model curved surface of the target area to be aerial-photographed in the step e, and estimating a relative position relationship;
g. respectively setting the coordinates of the weft and the coordinates of the warp as the abscissa and the ordinate of the panoramic image, determining the spatial coordinates of the intersection points of the weft and the warp, and then determining the corresponding relation between the pixel points corresponding to the spatial coordinates in the image photo constructed by the reconstruction camera and the corrected panoramic photo;
h. correcting the original panoramic image photo obtained in the step b to a panoramic image splicing plane according to the corresponding relation between the pixel point corresponding to the spatial coordinate point in the step g and the corrected panoramic photo;
i. splicing and fusing the corrected images to form an apparent panoramic image of a target area to be aerial-photographed;
j. and (e) acquiring the apparent panorama of the target area to be aerial-photographed in the step (i), and dividing the apparent panorama according to aerial-photographing requirements to form a final aerial-photographing photo.
2. The method of claim 1, wherein the aerial photograph is automatically corrected and spliced according to a tilt photography measurement, comprising: in the step a, all target points selected in the target area to be aerial-photographed are uniformly distributed and related.
3. The method of claim 1, wherein the aerial photograph is automatically corrected and spliced according to a tilt photography measurement, comprising: in the step a, the overlapping area of the original image photos of two adjacent target points exceeds one half of the area of a single target point.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011107350.XA CN112365506A (en) | 2020-10-16 | 2020-10-16 | Aerial photograph automatic correction and splicing operation method for oblique photography measurement |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011107350.XA CN112365506A (en) | 2020-10-16 | 2020-10-16 | Aerial photograph automatic correction and splicing operation method for oblique photography measurement |
Publications (1)
Publication Number | Publication Date |
---|---|
CN112365506A true CN112365506A (en) | 2021-02-12 |
Family
ID=74508171
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011107350.XA Pending CN112365506A (en) | 2020-10-16 | 2020-10-16 | Aerial photograph automatic correction and splicing operation method for oblique photography measurement |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112365506A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114264660A (en) * | 2021-12-03 | 2022-04-01 | 国网黑龙江省电力有限公司电力科学研究院 | Transmission line tower surface defect detection method and device based on green laser imaging |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101950435A (en) * | 2010-09-27 | 2011-01-19 | 北京师范大学 | Navigation-based method for generating interactive non-blocking three-dimensional topographic map |
CN102252630A (en) * | 2010-04-26 | 2011-11-23 | 欧姆龙株式会社 | Shape measurement apparatus and calibration method |
CN102494673A (en) * | 2011-11-15 | 2012-06-13 | 中测新图(北京)遥感技术有限责任公司 | Aerial photography partitioning method |
CN107421501A (en) * | 2017-03-02 | 2017-12-01 | 舜元建设(集团)有限公司 | A kind of cubic metre of earth and stone survey calculation method of combination oblique photograph, RTK and BIM technology |
CN108665536A (en) * | 2018-05-14 | 2018-10-16 | 广州市城市规划勘测设计研究院 | Three-dimensional and live-action data method for visualizing, device and computer readable storage medium |
CN109993696A (en) * | 2019-03-15 | 2019-07-09 | 广州愿托科技有限公司 | The apparent panorama sketch of works based on multi-view image corrects joining method |
CN111080526A (en) * | 2019-12-20 | 2020-04-28 | 广州市鑫广飞信息科技有限公司 | Method, device, equipment and medium for measuring and calculating farmland area of aerial image |
-
2020
- 2020-10-16 CN CN202011107350.XA patent/CN112365506A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102252630A (en) * | 2010-04-26 | 2011-11-23 | 欧姆龙株式会社 | Shape measurement apparatus and calibration method |
CN101950435A (en) * | 2010-09-27 | 2011-01-19 | 北京师范大学 | Navigation-based method for generating interactive non-blocking three-dimensional topographic map |
CN102494673A (en) * | 2011-11-15 | 2012-06-13 | 中测新图(北京)遥感技术有限责任公司 | Aerial photography partitioning method |
CN107421501A (en) * | 2017-03-02 | 2017-12-01 | 舜元建设(集团)有限公司 | A kind of cubic metre of earth and stone survey calculation method of combination oblique photograph, RTK and BIM technology |
CN108665536A (en) * | 2018-05-14 | 2018-10-16 | 广州市城市规划勘测设计研究院 | Three-dimensional and live-action data method for visualizing, device and computer readable storage medium |
CN109993696A (en) * | 2019-03-15 | 2019-07-09 | 广州愿托科技有限公司 | The apparent panorama sketch of works based on multi-view image corrects joining method |
CN111080526A (en) * | 2019-12-20 | 2020-04-28 | 广州市鑫广飞信息科技有限公司 | Method, device, equipment and medium for measuring and calculating farmland area of aerial image |
Non-Patent Citations (3)
Title |
---|
王里县: "浅谈航空摄影测量中像控点的布设及测量", 《 科学与信息化》 * |
苟彦梅 等: "倾斜摄影测量技术在大场景古遗址保护工程中的应用", 《电子世界》 * |
钟棉卿 等: "倾斜摄影技术在河道整治中的应用", 《陕西水利》 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114264660A (en) * | 2021-12-03 | 2022-04-01 | 国网黑龙江省电力有限公司电力科学研究院 | Transmission line tower surface defect detection method and device based on green laser imaging |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109993696B (en) | Multi-viewpoint image-based correction and splicing method for structural object surface panoramic image | |
CN107492069B (en) | Image fusion method based on multi-lens sensor | |
CN110782394A (en) | Panoramic video rapid splicing method and system | |
EP3111647B1 (en) | Image stitching and automatic-color correction | |
CN105957007B (en) | Image split-joint method based on characteristic point plane similarity | |
CN109903227B (en) | Panoramic image splicing method based on camera geometric position relation | |
US20180213218A1 (en) | Equipment and method for promptly performing calibration and verification of intrinsic and extrinsic parameters of a plurality of image capturing elements installed on electronic device | |
CN110827199B (en) | Tunnel image splicing method and device based on guidance of laser range finder | |
CN106875339A (en) | A kind of fish eye images joining method based on strip scaling board | |
JP5955028B2 (en) | Image processing apparatus, image processing method, and image processing program | |
CN106534670B (en) | It is a kind of based on the panoramic video generation method for connecting firmly fish eye lens video camera group | |
CN107358577B (en) | Rapid splicing method of cubic panoramic image | |
CN109945841B (en) | Industrial photogrammetry method without coding points | |
CN105488766B (en) | Fisheye image bearing calibration and device | |
CN111009030A (en) | Multi-view high-resolution texture image and binocular three-dimensional point cloud mapping method | |
KR100614004B1 (en) | An automated method for creating 360 degrees panoramic image | |
CN111461963A (en) | Fisheye image splicing method and device | |
CN112648935A (en) | Image processing method and device and three-dimensional scanning system | |
CN114413790B (en) | Large-view-field three-dimensional scanning device and method fixedly connected with photogrammetry camera | |
CN116363226A (en) | Real-time multi-camera multi-projector 3D imaging processing method and device | |
CN115880369A (en) | Device, system and method for jointly calibrating line structured light 3D camera and line array camera | |
CN108230381A (en) | A kind of combination spatial and the multiple view Stereo Vision of Pixel-level optimization | |
CN112365506A (en) | Aerial photograph automatic correction and splicing operation method for oblique photography measurement | |
AU2021102109A4 (en) | Fusion method of oblique photography model | |
CN108898550B (en) | Image splicing method based on space triangular patch fitting |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210212 |
|
RJ01 | Rejection of invention patent application after publication |